Cisco Engineering Product Manager Compute 

United States, California, San Jose 

666362493

As a Senior Product Manager, you will play a pivotal role in shaping the roadmap for AI infrastructure solutions, with a particular focus on enabling GPU workloads, automation, and multi-cloud AI deployments. This role will focus on delivering improved AI infrastructure management software to help organizations simplify sophisticated AI workloads and accelerate time-to-market. You will work in collaboration with Engineering and the Office of the CTO to integrate AI software into Intersight, enabling customers to manage and monitor AI infrastructure efficiently.

• Lead the design and deployment of AI Converged Infrastructure utilizing Cisco UCS, Cisco Nexus switches, and partner storage components for AI/ML engineers to manage and scale ML models across hybrid environments.
• Own the automation of Day 0 provisioning for AI/ML environments, ensuring seamless integration with AI stacks like NVIDIA NVAIE
• Drive the development of AI modeling tool, enabling customers to connect public cloud infrastructure on demand and integrate with on-prem data centers for AI training and inference workloads.
• Collaborate with cross-functional teams to create and maintain the AI infrastructure roadmap, focusing on Cisco UCS, Nexus, multi-purpose workloads, on-prem and public cloud.
• Evaluate and drive partnerships with Independent software vendors like RedHat and NVIDIA to enhance Cisco’s AI offerings.
• Define product positioning, differentiation, and pricing strategies.
• Partner with marketing and sales teams to drive adoption and awareness of Cisco’s AI infrastructure solutions.

• 5 years of product management experience, preferably in cloud infrastructure or AI/ML solutions
• 3+ years in engineering roles or related field, with a total of 8-10 years of experience
• Bachelor’s degree or equivalent experience in computer science or related technical field.

Preferred Qualification.

• Deep understanding of AI/ML infrastructure management, cloud-native architectures, and hybrid AI deployments.
• Familiarity with technologies like Kubernetes, GPU workloads, NVIDIA NVAIE, and public cloud AI services.
• Experience with AI/ML platforms, job scheduling tools (e.g., Slurm, OpenPBS), and managing dense GPU hardware.
• Ability to craft and execute long-term product roadmaps, balancing short-term objectives with strategic goals.
• Strong cross-functional collaboration skills to work with engineering, sales, marketing, and external partners.
• Experience with AI orchestration platforms
• Background in working with multi-cloud AI workloads and hybrid cloud solutions.
• Familiarity with Cisco UCS and Nexus infrastructure is a definite bonus.

We tackle whatever challenges come our way. We have each other’s backs, we recognize our accomplishments, and we grow together. We celebrate and support one another – from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that).